Results 121 to 130 of about 5,349,001 (214)

Morphological convolutional neural network architecture for digit recognition

open access: yes, 2019
Deep neural networks have proved promising results in many applications and fields, but they are still assimilated to a black box. Thus, it is very useful to introduce interpretability aspects to prevent the blind application of deep networks. This paper
Hamdani, Tarek M.   +4 more
core   +1 more source

Predicting lysine methylation sites using a convolutional neural network

open access: yes
Protein lysine methylation is a particular type of post translational modification that plays an important role in both histone and non-histone function regulation in proteins.
Spadaro, Austin   +2 more
core   +1 more source

Deep convolutional neural network for image deconvolution

open access: yes, 2014
Many fundamental image-related problems involve deconvolution operators. Real blur degradation seldom complies with an ideal linear convolution model due to camera noise, saturation, image compression, to name a few.
Xu, Li   +3 more
core  

Multiprocessing neural network simulator

open access: yes, 2013
Over the last few years tremendous progress has been made in neuroscience by employing simulation tools for investigating neural network behaviour.
Kulakov, Anton
core   +1 more source

Improved Nondestructive Ultrasound Molecular Imaging With Lightweight Convolutional Neural Network. [PDF]

open access: yesIEEE Trans Med Imaging
Baek J   +5 more
europepmc   +1 more source

Optical logic convolutional neural network. [PDF]

open access: yesSci Adv
Zhang W   +7 more
europepmc   +1 more source

Graph Convolutional Neural Network [PDF]

open access: yesProcedings of the British Machine Vision Conference 2016, 2016
Michael Edwards, Xianghua Xie
openaire   +2 more sources

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